Skip to content

Search

Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis

Worldwide, tuberculosis (TB) remains the leading cause of death from infectious diseases. Africa is the second most-affected region, accounting for a quarter of the global TB burden, but there is limited evidence whether there is subnational variation of TB prevalence across the continent. Therefore, this study aimed to estimate sub-national and local TB prevalence across Africa.

Mapping the prevalence of soil-transmitted helminth infections in the Western Pacific Region: a spatial modelling study

Soil-Transmitted Helminth (STH) infections are a significant health issue in the Western Pacific Region (WPR). This study aims to produce high-resolution spatial prediction STH prevalence maps for the WPR.

Conversion or Reversion of Interferon γ Release Assays for Mycobacterium tuberculosis Infection: A Systematic Review and Meta-analysis

Interferon γ release assays (IGRAs) are widely used for diagnosis of latent tuberculosis infection. However, with repeated testing, IGRA transformation (conversion or reversion) may be detected and is challenging to interpret. We reviewed the frequency of and risk factors for IGRA transformation.

Local progress towards achieving the End TB targets in Ethiopia: A geospatial analysis

Country-level estimates can mask local geographic variations in progress toward achieving World Health Organization's End TB targets. This study aimed to identify spatial variations in progress toward achieving the TB incidence reduction target at a district level in Ethiopia.

Antimicrobial Resistance of Clostridioides (Clostridium) difficile in Cambodia

Antimicrobial resistance (AMR) remains a major topic of interest in infectious disease management. We studied AMR in Clostridioides difficile isolated in Cambodia.

Quantifying undetected tuberculosis in Ethiopia using a novel geospatial modelling approach

Tuberculosis (TB) is the leading infectious cause of death globally, with approximately three million cases remaining undetected, thereby contributing to community transmission. Understanding the spatial distribution of undetected TB in high-burden settings is critical for designing and implementing geographically targeted interventions for early detection and control.

The prevalence of soil transmitted helminth infections in minority indigenous populations of south-east asia and the western pacific region: A systematic review and meta-analysis

By mapping land use under projections of socio-economic change, ecological changes can be predicted to inform conservation decision-making. We present a land use model that enables the fine-scale mapping of land use change under future scenarios.

Mapping Tuberculosis Prevalence in Ethiopia: Protocol for a Geospatial Meta-Analysis

In this report, we present a protocol for a geospatial meta-analysis to investigate the spatial patterns of TB prevalence in Ethiopia

Protocol for spatial prediction of soil transmitted helminth prevalence in the Western Pacific region using a meta-analytical approach

Soil transmitted helminth infections are estimated to impact 24% of the world's population and are responsible for chronic and debilitating morbidity. Disadvantaged communities are among the worst affected and are further marginalized as infection prevalence fuels the poverty cycle.

Risk mapping and socio-ecological drivers of soil-transmitted helminth infections in the Philippines: a spatial modelling study

The Philippines reports a high prevalence of soil-transmitted helminth (STH) infections despite the implementation of nationwide mass drug administration since 2006. The spatial variation of STH infections in the Philippines was last described using the 2005-2007 national STH and schistosomiasis survey. This study aimed to identify sociodemographic and environmental factors that drive STH transmission and predict high-risk areas in the Philippines.